NDLI: Performance Analysis for Data Service in Mobile Telecommunication Networks

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Performance Analysis for Data Service in Mobile Telecommunication Networks

Content Provider	CiteSeerX
Author	Silva, Aloizio P. Mateus, Geraldo R.
Abstract	Wireless networks are becoming more and more popular and traffic over the networks is growing rapidly. Because the network infrastructure is expanding at a quick pace, especially the wireless Internet growth, both in size and in the types of applications, the performance issue and dimensioning issue of networks are becoming more critical. New wireless data applications are emerging over mobile telecommunication networks. These applications produce data that may have different characteristics from those of wired dada applications. In this case, a good evaluation of performance measures can help a system designer to make its strategic decisions concerning cell size and the number of channel frequencies allocated to each cell. In this paper we present a data services analysis in a mobile telecommunication networks based on simulation. In addition, we illustrate the need for a simulation in order to characterize the mix of several traffic types for capacity and quality of service (QoS) planning. We use the Pareto and heavy tailed Weibull distributions to simulate the data traffic and the resource occupation time for data service, respectively. Finally, we also comment some simulation results of third generation services where we analyze the QoS parameters of a mobile network, such as channel occupation time, handoff, new call blocking probabilities and traffic in Erlangs.
File Format	PDF
Access Restriction	Open
Subject Keyword	Mobile Telecommunication Network Data Service Data Service Analysis Weibull Distribution Channel Occupation Time Several Traffic Type Network Infrastructure Wired Dada Application System Designer Performance Measure Wireless Network Third Generation Service Strategic Decision Qos Parameter Good Evaluation New Wireless Data Application Wireless Internet Growth Performance Issue Mobile Network Channel Frequency Quick Pace Cell Size Resource Occupation Time Different Characteristic Data Traffic New Call Blocking Probability
Content Type	Text
Resource Type	Article

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